2021年1月50篇GAN/对抗论文汇总

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2020年4月份70多篇GAN论文！

2020年3月至今90多篇GAN论文！

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2020年1月部分GAN论文清单 

001  (2021-01-28) Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN

     https://arxiv.org/pdf/2101.12083.pdf

002  (2021-01-29) The Hidden Tasks of Generative Adversarial Networks  An Alternative Perspective on GAN Training

     https://arxiv.org/pdf/2101.11863.pdf

003  (2021-01-28) Generative Multi-Label Zero-Shot Learning

     https://arxiv.org/pdf/2101.11606.pdf

004  (2021-01-27) Im2Mesh GAN  Accurate 3D Hand Mesh Recovery from a Single RGB Image

     https://arxiv.org/pdf/2101.11239.pdf

005  (2021-01-26) Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation

     https://arxiv.org/pdf/2101.11186.pdf

006  (2021-01-26) A Generative Model of Galactic Dust Emission Using Variational Inference

     https://arxiv.org/pdf/2101.11181.pdf

007  (2021-01-26) Quantum Generative Adversarial Networks in a Continuous-Variable Architecture to Simulate High Energy Physics Detectors

     https://arxiv.org/pdf/2101.11132.pdf

008  (2021-01-19) Generative Adversarial Network using Perturbed-Convolutions

     https://arxiv.org/pdf/2101.10841.pdf

009  (2021-01-25) Self Sparse Generative Adversarial Networks

     https://arxiv.org/pdf/2101.10556.pdf

010  (2021-01-25) Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution

     https://arxiv.org/pdf/2101.10165.pdf

011  (2021-01-28) Fighting deepfakes by detecting GAN DCT anomalies

     https://arxiv.org/pdf/2101.09781.pdf

012  (2021-01-23) A Dual-branch Network for Infrared and Visible Image Fusion

     https://arxiv.org/pdf/2101.09643.pdf

013  (2021-01-23) A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network

     https://arxiv.org/pdf/2101.09568.pdf

014  (2021-01-22) Pareto GAN  Extending the Representational Power of GANs to Heavy-Tailed Distributions

     https://arxiv.org/pdf/2101.09113.pdf

015  (2021-01-13) Adversarial Machine Learning in Text Analysis and Generation

     https://arxiv.org/pdf/2101.08675.pdf

016  (2021-01-20) MoG-QSM  Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping

     https://arxiv.org/pdf/2101.08413.pdf

017  (2021-01-20) Influence Estimation for Generative Adversarial Networks

     https://arxiv.org/pdf/2101.08367.pdf

018  (2021-01-20) Robust W-GAN-Based Estimation Under Wasserstein Contamination

     https://arxiv.org/pdf/2101.07969.pdf

019  (2021-01-19) Intelligent Icing Detection Model of Wind Turbine Blades Based on SCADA data

     https://arxiv.org/pdf/2101.07914.pdf

020  (2021-01-19) Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial Networks

     https://arxiv.org/pdf/2101.07868.pdf

021  (2021-01-19) JigsawGAN  Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks

     https://arxiv.org/pdf/2101.07555.pdf

022  (2021-01-19) PeerGAN  Generative Adversarial Networks with a Competing Peer Discriminator

     https://arxiv.org/pdf/2101.07524.pdf

023  (2021-01-18) Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks

     https://arxiv.org/pdf/2101.07389.pdf

024  (2021-01-18) Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary

     https://arxiv.org/pdf/2101.07235.pdf

025  (2021-01-17) GraphAttacker  A General Multi-Task GraphAttack Framework

     https://arxiv.org/pdf/2101.06855.pdf

026  (2021-01-15) The Geometry of Deep Generative Image Models and its Applications

     https://arxiv.org/pdf/2101.06006.pdf

027  (2021-01-14) Convex Smoothed Autoencoder-Optimal Transport model

     https://arxiv.org/pdf/2101.05679.pdf

028  (2021-01-13) Dual-cycle Constrained Bijective VAE-GAN For Tagged-to-Cine Magnetic Resonance Image Synthesis

     https://arxiv.org/pdf/2101.05439.pdf

029  (2020-12-10) This Face Does Not Exist ... But It Might Be Yours  Identity Leakage in Generative Models

     https://arxiv.org/pdf/2101.05084.pdf

030  (2021-01-13) Sequential IoT Data Augmentation using Generative Adversarial Networks

     https://arxiv.org/pdf/2101.05003.pdf

031  (2021-01-13) Road images augmentation with synthetic traffic signs using neural networks

     https://arxiv.org/pdf/2101.04927.pdf

032  (2021-01-12) Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis

     https://arxiv.org/pdf/2101.04775.pdf

033  (2021-01-15) Cross-Modal Contrastive Learning for Text-to-Image Generation

     https://arxiv.org/pdf/2101.04702.pdf

034  (2021-01-11) Cycle Generative Adversarial Networks Algorithm With Style Transfer For Image Generation

     https://arxiv.org/pdf/2101.03921.pdf

035  (2021-01-10) Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation

     https://arxiv.org/pdf/2101.03678.pdf

036  (2021-01-9) Quantum Generative Models for Small Molecule Drug Discovery

     https://arxiv.org/pdf/2101.03438.pdf

037  (2021-01-8) Exploring Adversarial Fake Images on Face Manifold

     https://arxiv.org/pdf/2101.03272.pdf

038  (2021-01-5) GRAPPA-GANs for Parallel MRI Reconstruction

     https://arxiv.org/pdf/2101.03135.pdf

039  (2021-01-8) Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks

     https://arxiv.org/pdf/2101.02932.pdf

040  (2021-01-7) Deep Generative Model for Efficient 3D Airfoil Parameterization and Generation

     https://arxiv.org/pdf/2101.02744.pdf

041  (2021-01-7) Adversarial Machine Learning for 5G Communications Security

     https://arxiv.org/pdf/2101.02656.pdf

042  (2021-01-7) A spin-glass model for the loss surfaces of generative adversarial networks

     https://arxiv.org/pdf/2101.02524.pdf

043  (2021-01-7) Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

     https://arxiv.org/pdf/2101.02388.pdf

044  (2021-01-7) VHS to HDTV Video Translation using Multi-task Adversarial Learning

     https://arxiv.org/pdf/2101.02384.pdf

045  (2021-01-6) OAAE  Adversarial Autoencoders for Novelty Detection in Multi-modal Normality Case via Orthogonalized Latent Space

     https://arxiv.org/pdf/2101.02358.pdf

046  (2021-01-6) Model Extraction and Defenses on Generative Adversarial Networks

     https://arxiv.org/pdf/2101.02069.pdf

047  (2021-01-5) Minibatch optimal transport distances; analysis and applications

     https://arxiv.org/pdf/2101.01792.pdf

048  (2020-12-27) Generative Adversarial Networks with Physical Evaluators for Spray Simulation of Pintle Injector

     https://arxiv.org/pdf/2101.01217.pdf

049  (2020-12-21) Understanding Health Misinformation Transmission  An Interpretable Deep Learning Approach to Manage Infodemics

     https://arxiv.org/pdf/2101.01076.pdf

050  (2021-01-4) Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines

     https://arxiv.org/pdf/2101.01042.pdf

051  (2021-01-4) Guiding GANs  How to control non-conditional pre-trained GANs for conditional image generation

     https://arxiv.org/pdf/2101.00990.pdf

052  (2021-01-3) Copula Flows for Synthetic Data Generation

     https://arxiv.org/pdf/2101.00598.pdf

053  (2021-01-2) Six-channel Image Representation for Cross-domain Object Detection

     https://arxiv.org/pdf/2101.00561.pdf

054  (2021-01-2) RV-GAN   Retinal Vessel Segmentation from Fundus Images using Multi-scale Generative Adversarial Networks

     https://arxiv.org/pdf/2101.00535.pdf

055  (2021-01-2) ORDisCo  Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning

     https://arxiv.org/pdf/2101.00407.pdf

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